Triple
T27172622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عماد فايز مغنية |
E682959
|
entity |
| Predicate | معروف أيضًا باسم |
P39
|
FINISHED |
| Object |
الحاج رضوان
الحاج رضوان هو الاسم الحركي لعماد فايز مغنية، القيادي البارز في الجناح العسكري لحزب الله اللبناني وأحد أبرز المطلوبين أمنيًا دوليًا قبل اغتياله.
|
E1759971
|
NE FINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: الحاج رضوان | Statement: [عماد فايز مغنية, معروف أيضًا باسم, الحاج رضوان]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: الحاج رضوان Triple: [عماد فايز مغنية, معروف أيضًا باسم, الحاج رضوان]
Generated description
الحاج رضوان هو الاسم الحركي لعماد فايز مغنية، القيادي البارز في الجناح العسكري لحزب الله اللبناني وأحد أبرز المطلوبين أمنيًا دوليًا قبل اغتياله.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: معروف أيضًا باسم Context triple: [عماد فايز مغنية, معروف أيضًا باسم, الحاج رضوان]
-
A.
alsoKnownAs
chosen
Indicates that one entity is an alternative name, alias, or designation for another entity.
-
B.
известенКак
Indicates that one entity is known or recognized by a particular name, title, or role.
-
C.
knownAsBy
Indicates that one entity is referred to or recognized by another entity using a particular name or designation.
-
D.
knownAsInThai
Indicates that an entity is referred to by a specific name or term in the Thai language.
-
E.
isWidelyKnownAs
Indicates that an entity is commonly referred to or recognized by a particular name or label by a broad audience.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69eefad086808190ab89816c0c300476 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62549039c8190af7159d07416c985 |
completed | May 2, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a125388d6a0819092971a404f7992c5 |
completed | May 24, 2026, 1:25 a.m. |
| NEDg | Description generation | batch_6a12546f814881908c806a1805b7473d |
completed | May 24, 2026, 1:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12552b0cc88190be6bc59664de20c9 |
completed | May 24, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
Created at: April 27, 2026, 9:24 a.m.